Author:
Bie Minglin,Liu Yanyan,Li Guoning,Hong Jintao,Li Jin
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference37 articles.
1. Ahmadi, M., Xu, Z., Wang, X., Wang, L., Shao, M., & Yu, Y. (2021, October). Fast Multi Object Detection and Counting by YOLO V3. In 2021 China Automation Congress (CAC) (pp. 7401-7404). IEEE.
2. Benjdira, B., Khursheed, T., Koubaa, A., Ammar, A., & Ouni, K. (2019, February). Car detection using unmanned aerial vehicles: Comparison between faster r-cnn and yolov3. In 2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS) (pp. 1-6). IEEE.
3. Bochkovskiy A, Wang C Y, Liao H Y M. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934, 2020.
4. Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., & Xu, C. (2020). Ghostnet: More features from cheap operations. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 1580-1589).
5. Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., ... & Adam, H. (2017). Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861.
Cited by
41 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献